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Sabino Guglielmini is a doctoral student at the Department of
Information Technology and Electrical Engineering, ETHZ. He obtained his
master’s degree in Computer Science with a specialization in Computational
Intelligence at the University of Salerno (UNISA, Italy) in March 2018. Sabino
carried out his master’s thesis as visiting student, on the reduction of false
alarm rates in neonatal intensive care units using machine learning techniques,
at the Biomedical Optics Research Laboratory (BORL), University Hospital Zurich
where he has been working since May 2018. His project, Systemic Physiology
Augmented functional Near-Infrared Spectroscopy (SPA-fNIRS) hyperscanning, aims
the use of EEG, fNIRS and systemic physiological signals to determine
synchronization between brain and body activity of interacting subjects. His research interests
include biomedical signal processing, neuroinformatics, and machine learning.